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  1. .ipynb_checkpoints/deploy-checkpoint.ipynb +191 -0
  2. README.md +2 -8
  3. app.py +11 -0
  4. deploy.ipynb +191 -0
  5. mode.pkl +3 -0
  6. requirements.txt +1 -0
.ipynb_checkpoints/deploy-checkpoint.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "f7574cf0",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from fastcore.all import *"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "70c6d38b",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from fastai.vision.all import *"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 7,
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+ "id": "e6cf2649",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "learn = load_learner('mode.pkl')"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 8,
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+ "id": "31dd1521",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "labels = learn.dls.vocab"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 9,
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+ "id": "6cb8e202",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "def predict(img) :\n",
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+ " pred,id,probs = learn.predict(PILImage.create(img))\n",
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+ " return {labels[i] : float(probs[i]) for i in range(len(labels)) }"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 10,
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+ "id": "ad1e5548",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from gradio.components import Image , Label"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 11,
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+ "id": "675ef28b",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "import gradio as gr"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 12,
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+ "id": "fa536164",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Running on local URL: http://127.0.0.1:7866\n",
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+ "Running on public URL: https://fc407041673570426e.gradio.live\n",
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+ "\n",
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+ "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
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+ ]
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+ },
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+ {
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+ "data": {
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+ "text/html": [
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+ "<div><iframe src=\"https://fc407041673570426e.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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+ "execution_count": 12,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ },
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "C:\\Users\\akshi\\anaconda3\\Lib\\site-packages\\fastai\\torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n",
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+ " return getattr(torch, 'has_mps', False)\n"
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+ ]
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+ },
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+ {
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+ "data": {
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+ "text/html": [
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+ "\n",
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+ "<style>\n",
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+ " /* Turns off some styling */\n",
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+ " progress {\n",
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+ " /* gets rid of default border in Firefox and Opera. */\n",
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+ " border: none;\n",
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+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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+ " background-size: auto;\n",
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+ " }\n",
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+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+ " background: #F44336;\n",
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+ " }\n",
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+ "</style>\n"
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+ ],
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+ "text/plain": [
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+ "<IPython.core.display.HTML object>"
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+ ]
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+ "output_type": "display_data"
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+ {
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+ "data": {
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+ "text/plain": [
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+ "<IPython.core.display.HTML object>"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
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+ ],
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+ "source": [
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+ "gr.Interface(fn=predict , inputs=Image(), outputs=Label(num_top_classes=2)).launch(share=True)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "c8797535",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.11.4"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }
README.md CHANGED
@@ -1,12 +1,6 @@
1
  ---
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- title: Thesis Thin Film Defects
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- emoji: 🔥
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- colorFrom: purple
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- colorTo: gray
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  sdk: gradio
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  sdk_version: 4.13.0
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- app_file: app.py
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- pinned: false
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  ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
2
+ title: Thesis_Thin_Film_Defects
3
+ app_file: app.py
 
 
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  sdk: gradio
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  sdk_version: 4.13.0
 
 
6
  ---
 
 
app.py ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastcore.all import *
2
+ from fastai.vision.all import *
3
+ learn = load_learner('mode.pkl')
4
+ labels = learn.dls.vocab
5
+ def predict(img) :
6
+ pred,id,probs = learn.predict(PILImage.create(img))
7
+ return {labels[i] : float(probs[i]) for i in range(len(labels)) }
8
+
9
+ import gradio as gr
10
+ from gradio.components import Image , Label
11
+ gr.Interface(fn=predict , inputs=Image(), outputs=Label(num_top_classes=2)).launch(share=True)
deploy.ipynb ADDED
@@ -0,0 +1,191 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "f7574cf0",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from fastcore.all import *"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "70c6d38b",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from fastai.vision.all import *"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 7,
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+ "id": "e6cf2649",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
30
+ "learn = load_learner('mode.pkl')"
31
+ ]
32
+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 8,
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+ "id": "31dd1521",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "labels = learn.dls.vocab"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 9,
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+ "id": "6cb8e202",
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+ "metadata": {},
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+ "outputs": [],
49
+ "source": [
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+ "def predict(img) :\n",
51
+ " pred,id,probs = learn.predict(PILImage.create(img))\n",
52
+ " return {labels[i] : float(probs[i]) for i in range(len(labels)) }"
53
+ ]
54
+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 10,
58
+ "id": "ad1e5548",
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+ "metadata": {},
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+ "outputs": [],
61
+ "source": [
62
+ "from gradio.components import Image , Label"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 11,
68
+ "id": "675ef28b",
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+ "metadata": {},
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+ "outputs": [],
71
+ "source": [
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+ "import gradio as gr"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 12,
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+ "id": "fa536164",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Running on local URL: http://127.0.0.1:7866\n",
86
+ "Running on public URL: https://fc407041673570426e.gradio.live\n",
87
+ "\n",
88
+ "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
89
+ ]
90
+ },
91
+ {
92
+ "data": {
93
+ "text/html": [
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+ "<div><iframe src=\"https://fc407041673570426e.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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+ ],
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+ "text/plain": [
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+ "output_type": "display_data"
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+ {
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+ "data": {
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+ "execution_count": 12,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "C:\\Users\\akshi\\anaconda3\\Lib\\site-packages\\fastai\\torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n",
116
+ " return getattr(torch, 'has_mps', False)\n"
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+ ]
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+ },
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+ {
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+ "data": {
121
+ "text/html": [
122
+ "\n",
123
+ "<style>\n",
124
+ " /* Turns off some styling */\n",
125
+ " progress {\n",
126
+ " /* gets rid of default border in Firefox and Opera. */\n",
127
+ " border: none;\n",
128
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
129
+ " background-size: auto;\n",
130
+ " }\n",
131
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+ " }\n",
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+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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+ " background: #F44336;\n",
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+ " }\n",
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+ "</style>\n"
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+ ],
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+ "text/plain": [
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+ "output_type": "display_data"
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+ "source": [
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+ "gr.Interface(fn=predict , inputs=Image(), outputs=Label(num_top_classes=2)).launch(share=True)"
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+ ]
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+ {
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+ "cell_type": "code",
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+ "id": "c8797535",
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+ size 47216303
requirements.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ fastai